首页> 外文会议>SAR in Big Data Era: Models, Methods and Applications >Ship detection in a large scene SAR image using image uniformity description factor
【24h】

Ship detection in a large scene SAR image using image uniformity description factor

机译:使用图像均匀性描述因子在大场景SAR图像中船舶检测

获取原文

摘要

Effective features extraction and high speed processing algorithms are key points for large scene SAR image processing, such as ship detection in the ocean. Feature based ship detection methods can use more information about targets and make results robust in different backgrounds. Although texture is an effective and strong feature in SAR images, its large computation time limits its practice in SAR applications. In this paper, a new texture feature named Image Uniformity Description Factor (IUDF) is proposed to extract uniformity information of SAR images and is used to design a texture based large scene SAR image ship detection algorithm in which accuracy and processing time are taken into consideration as two indexes to test the usefulness of IUDF in practical application. Experiment results show that the algorithm proposed using IUDF can be applied for ship detection in SAR images with a high accuracy and processing speed.
机译:有效的特征提取和高速处理算法是大型场景SAR图像处理的关键点,例如海洋中的船舶检测。基于功能的船舶检测方法可以使用有关目标的更多信息,并在不同的背景中使结果具有稳健。虽然纹理是SAR图像中的有效且强大的特征,但其大的计算时间在SAR应用中限制了其实践。在本文中,提出了一种名为映像均匀性描述系数(IUDF)的新纹理特征,以提取SAR图像的均匀信息,并用于设计基于纹理的大场景SAR图像船舶检测算法,在该纹理SAR图像船舶检测算法,其中考虑到精度和处理时间作为两个指标,以测试IUDF在实际应用中的有用性。实验结果表明,使用高精度和处理速度的SAR图像中提出的算法可以应用于船舶检测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号